Real-Time Decision Support: The Foundation of Industrial Intelligence

Transform reactive operations into proactive decision-making with XMPro’s foundational decision support capabilities. Get started quickly with minimal disruption while establishing the platform for your continuous intelligence journey.

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Decision Support

The Foundation That Transforms Alert Overload Into Orchestrated Action

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Decision Augmentation

From Knowing What’s Happening to Knowing What to Do With AI Augmented Guidance

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Decision Automation

Trusted, Reliable & Explainable Autonomous Operations

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The Information Overload Challenge

Modern industrial operations generate more data than human operators can effectively process

1,000+

Daily alerts per operator
(vs. 60-100 historically)

69-99%

Of alerts require no action
(False positive rates)

19

Different tools required
(On average)

$20 Billion

Annual productivity impact (From info overload)

Why Traditional Visualization Approaches Fall Short:

  • Information Scatter: Critical insights dispersed across multiple disconnected systems
  • Cognitive Overload: Operators overwhelmed by simultaneous data streams without prioritization
  • Context Gaps: Data presented without operational context needed for sound decision-making
  • Reactive Posture: Dashboards show what happened, not what should happen next
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What Is Decision Support?

A structured approach to converting operational data into clean, contextualized, and actionable intelligence.

At its core, Decision Support systematically transforms operational data into clean, contextualized, triaged, and explainable intelligence. It provides structured intelligence that enables both human operators and automated systems to make timely, accurate, and trusted decisions. In short, it filters noise and drives focused action.

The Four Core Principles of XMPro’s Decision Support

 

Operators don’t need more dashboards, they need clarity. Decision Support continuously evaluates incoming data and surfaces the 5–10 most urgent, high-impact actions so nothing critical gets lost in the noise.

Adds operational understanding, like current mode, maintenance history, interdependencies—to every insight. Data becomes situationally aware.

No single method is enough. Decision Support blends expert rules, physics models, machine learning, and historical insights, each adding a layer of confidence to complex operational decisions.

Every recommendation must be explainable. Operators need to see the logic behind guidance… what triggered it, what data supports it, and what the system expects to happen, so they can act confidently and safely.

Building Decision Support With XMPro: From Concept to Reality

XMPro’s decision support tools provide the foundation for your industrial intelligence journey
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XMPro’s Data Stream Designer lets users rapidly build real-time data flows across OT, IT, and engineering systems—no coding required. With an extendable library of 200+ prebuilt connectors, it enables edge or cloud execution to filter, enrich, and interpret streaming data on the fly using embedded rules, ML models, and business logic. The result: orchestrated, decision-ready data.

Digital twin

XMPro applies layered intelligence to streaming data, combining expert rules, historical patterns, physics limits, and AI models to separate real issues from noise. Dynamic filters suppress irrelevant alerts during known conditions like maintenance or mode shifts, reducing operator load. Events are contextually triaged and scored by operational impact—so the highest-risk, highest-value insights rise to the top.

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Detect anomalies and issues as they emerge rather than after they’ve impacted operations. Monitor critical parameters continuously to prevent problems before they affect performance.

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View relevant operational data in context for different roles and responsibilities. Create role-specific visualizations that provide the right information to the right people at the right time.

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XMPro’s Recommendation Manager turns raw events into prioritized, actionable guidance. Instead of alert overload, teams get a focused set of recommendations—each with next steps, confidence scores, impact assessments, and supporting context like SOP’s. Operators know what to do, why it matters, and what’s at stake.

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Most systems stop at alerts—XMPro goes further. It closes the loop with automated actions like creating work orders, adjusting setpoints, triggering procurement, and notifying personnel. It also learns from outcomes by tracking actions, comparing results, refining models, and capturing feedback for continuous improvement.

XMPro's Value at a Glance: Composable Intelligence. Real Results.

XMPro delivers a proven > 1000% ROI by enabling industrial enterprises to rapidly compose intelligent operations — solving real engineering and operational problems at scale, in weeks rather than years, without rearchitecting existing systems.

$16 Million

Saved Every Year

18% reduction

In field service trips

95% reduction

In weekly maintenance schedule planning

Customer Case Study

Using XMPro, a global oil & gas supermajor rapidly composed and deployed an intelligent oil well maintenance solution in just three months—achieving over $8 million in calculated value within the first six months.

$10 Million

Saved every year

30% Reduction

In conveyor downtime

9,000 Tons

Saved every month

Customer Case Study

Using XMPro, the world’s largest potash mining company rapidly composed and deployed a predictive maintenance solution for over 50 miles of underground conveyors in just 30 days, achieving $10 million in savings every year by reducing unplanned downtime by over 30%.

6 Sites

In-House engineering adoption

1000 +

Assets monitored

35 +

Operational, tactical & strategic use cases

Customer Case Study

XMPro enabled the in-house engineering team in a major North American miner to independently compose 35 operational, tactical and strategic solutions across six sites, scaling to monitor and manage over 1,000 diverse critical assets.

"XMPro successfully triggered a real predictive maintenance alert for a Haul Truck that appears to have a Strut issue - This was particularly impressive, considering we have only deployed the development environment a few weeks ago" 

- Advanced Predictive Maintenance Lead, major global mining company

Next – Discover AI Decision Augmentation

Take your operations to the next level by combining human expertise with XMPro’s AI-powered decision augmentation. Transform how your teams work by providing context-aware recommendations and knowledge preservation that scales your best practices.

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